Mehdi Nikkhah

Title: The Innovative Contributions of Mehdi Nikkhah

Introduction

Mehdi Nikkhah is a prominent inventor based in Belmont, CA, known for his significant contributions to the field of machine learning and network technology. With a total of 7 patents, Nikkhah has made strides in developing innovative solutions that enhance data communication and network efficiency.

Latest Patents

One of Nikkhah's latest patents is titled "Communication efficient machine learning of data across multiple sites." In this invention, a service receives machine learning-based generative models from various distributed sites. Each generative model is trained locally using unlabeled data to generate synthetic unlabeled data that mimics the original data. The service then trains a global machine learning model using both the labeled data from the sites and the synthetic data generated.

Another notable patent is "Network traffic prediction using long short term memory neural networks." This invention involves a server that utilizes an LSTM neural network to predict bandwidth values for computer network elements based on past traffic data. The server analyzes a time series of bandwidth utilization and generates predicted values to adjust the provisioned bandwidth accordingly.

Career Highlights

Mehdi Nikkhah is currently employed at Cisco Technology, Inc., where he continues to innovate and develop cutting-edge technologies. His work at Cisco has positioned him as a key player in the advancement of network solutions and machine learning applications.

Collaborations

Nikkhah has collaborated with notable colleagues such as Rob Liston and Xiaoqing Zhu, contributing to various projects that push the boundaries of technology and innovation.

Conclusion

Mehdi Nikkhah's contributions to machine learning and network technology exemplify the impact of innovative thinking in the tech industry. His patents reflect a commitment to enhancing data communication and network efficiency, making him a valuable asset in his field.